https://github.com/bonstats/tidytreatment

Tidy methods for Bayesian treatment effect models

https://github.com/bonstats/tidytreatment

Science Score: 23.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
  • Committers with academic emails
    1 of 3 committers (33.3%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (10.5%) to scientific vocabulary

Keywords

bayesian r tidy treatment-effects
Last synced: 6 months ago · JSON representation

Repository

Tidy methods for Bayesian treatment effect models

Basic Info
  • Host: GitHub
  • Owner: bonStats
  • License: other
  • Language: R
  • Default Branch: master
  • Size: 30.3 MB
Statistics
  • Stars: 16
  • Watchers: 1
  • Forks: 2
  • Open Issues: 7
  • Releases: 4
Topics
bayesian r tidy treatment-effects
Created almost 7 years ago · Last pushed about 1 year ago
Metadata Files
Readme Changelog License

README.md

Tidy methods for Bayesian treatment effect models

R-CMD-check CRAN status CRAN downloads <!-- badges: end -->

tidytreatment is an R package that provides functions for extracting tidy data from Bayesian treatment effect models, estimating treatment effects, and plotting useful summaries of these. This package closely follows the output style from the tidybayes R package in order to use some functions provided by tidybayes.

The package currently supports the following models:

  • BART: see CRAN
  • bartMachine: see CRAN.
  • bcf: see CRAN (in development, see branch bcf-hold on github)

in addition to models supported by tidybayes.

See this HTML vignette or vignette("use-tidytreatment-BART") for examples of usage.

How to install

CRAN

Install the release version from CRAN with install.packages("tidytreament").

Github

To install the latest development version:

  1. Make sure at least one of the above model fitting packages is installed.
  2. In R make sure remotes is installed. Install with install.packages("remotes").
  3. Run remotes::install_github("bonStats/tidytreatment")

Owner

  • Name: Joshua Bon
  • Login: bonStats
  • Kind: user
  • Location: Meanjin / Brisbane
  • Company: Queensland University of Technology

Research statistician. Computation and a lot of dabbling. Centre for Data Science, Queensland University of Technology

GitHub Events

Total
  • Create event: 1
  • Issues event: 1
  • Release event: 1
  • Watch event: 2
  • Push event: 5
Last Year
  • Create event: 1
  • Issues event: 1
  • Release event: 1
  • Watch event: 2
  • Push event: 5

Committers

Last synced: over 1 year ago

All Time
  • Total Commits: 119
  • Total Committers: 3
  • Avg Commits per committer: 39.667
  • Development Distribution Score (DDS): 0.05
Past Year
  • Commits: 9
  • Committers: 1
  • Avg Commits per committer: 9.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Joshua Bon j****n@g****m 113
Joshua Bon b****j@q****u 3
Matthew Kay m****y@g****m 3
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: about 1 year ago

All Time
  • Total issues: 12
  • Total pull requests: 2
  • Average time to close issues: 5 months
  • Average time to close pull requests: 2 days
  • Total issue authors: 3
  • Total pull request authors: 2
  • Average comments per issue: 1.25
  • Average comments per pull request: 4.5
  • Merged pull requests: 2
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 1
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 1
  • Pull request authors: 0
  • Average comments per issue: 0.0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • bonStats (9)
  • schelhorn (2)
  • zmeers (1)
Pull Request Authors
  • mjskay (1)
  • bonStats (1)
Top Labels
Issue Labels
enhancement (8)
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • cran 299 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 1
  • Total versions: 4
  • Total maintainers: 1
cran.r-project.org: tidytreatment

Tidy Methods for Bayesian Treatment Effect Models

  • Versions: 4
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 299 Last month
Rankings
Stargazers count: 14.1%
Forks count: 21.0%
Dependent repos count: 24.0%
Average: 28.5%
Dependent packages count: 28.8%
Downloads: 54.7%
Maintainers (1)
Last synced: 6 months ago

Dependencies

DESCRIPTION cran
  • R >= 3.1.0 depends
  • bartMachine * enhances
  • dplyr * imports
  • purrr * imports
  • readr * imports
  • rlang * imports
  • tidybayes * imports
  • tidyr * imports
  • BART * suggests
  • ggplot2 * suggests
  • knitr * suggests
  • rmarkdown * suggests
  • testthat >= 3.0.0 suggests
  • withr * suggests
.github/workflows/check-standard.yaml actions
  • actions/checkout v3 composite
  • r-lib/actions/check-r-package v2 composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite